most citedIncremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 5 cited

Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods

Tianhao Chen, Limei Cheng, Yang Liu +2

Continuous reinforcement learning such as DDPG and A3C are widely used in robot control and autonomous driving. However, both methods have theoretical weaknesses. While DDPG cannot…